Tracking Areas Planning Based on Community Detection in Heterogeneous and Small Cell Networks

Increasing demands of data transmissions are promoting the acceleration of peaking rate per terminal especially in hot-spots. Numerous irregular deployments of small cells require efficient tracking area (TA) planning method in heterogeneous cellular networks. Macrocells preferred access is not a fundamental solution for TA planning, which results from reducing the offloading ability of small cells. In this paper, a novel TA planning algorithm based on cooperative games is proposed by detecting similar communities. Simulation results show that it can reduce the signalling overhead, improve the performance of calling successes and system utilizations while maintaining the offloading abilities of small cells.